The Pentagon is requesting $30 million to develop an AI-powered deception detection system, raising fresh questions about the reliability and ethics of using machine learning to judge human truthfulness.
AI-powered document verification is becoming critical as fraudsters weaponize generative tools to forge IDs and manipulate documents. Here's how seven detection platforms are tackling synthetic document fraud in enterprise onboarding.
New research explores using controllable synthetic conversations to train voice assistant wake-up detection, tackling the data scarcity problem in on-device audio systems with generated speech data.
The em dash became a popular signal for spotting AI-generated text. But as detection heuristics spread, models began adapting, exposing the fragility of stylometric fingerprints for synthetic content detection.
A deep dive into diffusion models—the core technology behind modern AI image and video generation—explaining how systems learn to transform random noise into coherent visuals through iterative denoising.
YouTube unveiled a sweeping suite of generative AI tools at its Made on YouTube event, from AI-generated thumbnails and edits to conversational creation assistants that automate much of the video production workflow.
A new research approach called Mean Velocity Matching reframes how diffusion models learn generative dynamics, promising more efficient sampling and higher-quality synthesis for the image and video generators driving modern synthetic media.
A new sim-to-real study finds that LLM synthetic personas don't reliably predict real audience responses to ad copy—and a simpler no-persona baseline actually beats persona-based simulation. A cautionary result for synthetic audience research.
Snorkel AI has tripled its valuation to $3.5B as enterprise demand for high-quality AI training data surges. The programmatic data-labeling firm is riding a wave of investment in the infrastructure that powers modern generative and multimodal models.
A UN scientific panel urges governments to adopt precautionary AI safeguards rather than wait for definitive proof of harm — a stance with major implications for deepfake and synthetic media regulation worldwide.
New research explores how large language models generate scenario-based fake news through discourse structures — and how detectors can be trained to catch it. A closer look at the arms race between synthetic text generation and authenticity.
AMD's move toward Taalas-style hardwired AI inference silicon challenges the GPU's dominance. Here's why custom chips baking models directly into silicon could reshape the economics of running generative AI — including video and voice models.